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Public

This directory contains 7 workflows.

IconFind optimal model with cross validation 

<p>This workflow is designed to illustrate how to select an optimal value for a model parameter using cross validation.</p><p>The workflow reads in the […]

IconFirst Decision Tree 

<p>Simple decision tree used to illustrate how to train a model and how to use it on new data</p> TAGS: education,L4-ML

IconFirst Linear Regression 

<p>This workflow shows a hands-on exercise on Linear Regression</p> TAGS: education,L4-ML

IconModel selection with validation, cross validation and regularization. Polynomial regression 

<p>This workflow is designed to illustrate the process of model selection. The considered models are polynomials of degree 1 to 10.</p><p>It is shown that […]

IconSimple cross validation 

<p>This workflow is designed to illustrate how to estimate test error using cross validation.</p><p>The workflow reads in the dataset, splits it into […]

IconTraining error vs Degree (Complexity) 

<p>This workflow is designed to illustrate how traininig error diminishes with model complexity.</p><p>The workflow reads in the dataset and tries to find […]

IconTraining error vs Test error 

<p>This is a workflow designed to illustrate the difference between training error and test error. It compares three different models:</p><ol><li><p>A […]